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Experience matters: unlocking and improving image description guidelines through participatory design

Project: Research project

Project Details

Description

This project aims to develop, evaluate, and publish guidelines for making images more accessible for people with visual impairments through image descriptions. While the scientific literature on this topic is surprisingly scarce, accessibility organizations already have experience in providing descriptions for different kinds of images to benefit different kinds of users. We wish to open up this institutional knowledge, and study how current image description practices, mostly focusing on highly pragmatic image descriptions, can be improved. In this effort, we will emphasize not just the content of the descriptions, but also the usability of the guidelines for image describers (i.e. the people describing the images). In addition, we will address the full user experience of visually impaired users of the image descriptions, rather then pragmatic aspects only. We will do this through a participatory design approach in which people with visual impairments and image describers are actively involved.
Short titleExperience matters
StatusFinished
Effective start/end date1/05/231/05/25

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  4. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • accessibility
  • visual impairment
  • guidelines
  • human-centered design

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Tailoring LLM-generated image captions to user needs

    van der Heiden, I. & van Miltenburg, E., 2026, In: Computational Linguistics in the Netherlands Journal. 15, p. 165-191 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    5 Downloads (Pure)
  • Beeldbeschrijvingen voor iedereen

    Translated title of the contribution: Image descriptions for everyonevan Miltenburg, E. & Slegers, K., 2025, In: Tekstblad. 2, p. 20-23 4 p.

    Research output: Contribution to journalArticleProfessional

    Open Access
    File
    35 Downloads (Pure)